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» Approximation Algorithms for Scheduling on Multiple Machines
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ALDT
2009
Springer
172views Algorithms» more  ALDT 2009»
14 years 2 months ago
On Multi-dimensional Envy-Free Mechanisms
Traditional performance analysis of approximation algorithms considers overall performance, while economic fairness analysis focuses on the individual performance each user receiv...
Ahuva Mu'alem
ICPR
2008
IEEE
14 years 9 months ago
A discrete-time parallel update algorithm for distributed learning
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
Christian Bauckhage, Tansu Alpcan
IPPS
2009
IEEE
14 years 2 months ago
Resource-aware allocation strategies for divisible loads on large-scale systems
In this paper, we deal with the large-scale divisible load problem studied in [12]. We show how to reduce this problem to a classical preemptive scheduling problem on a single mac...
Anne Benoit, Loris Marchal, Jean-Francois Pineau, ...
IPPS
2002
IEEE
14 years 18 days ago
Static Mapping Heuristics for Tasks with Dependencies, Priorities, Deadlines, and Multiple Versions in Heterogeneous Environment
Heterogeneous computing (HC) environments composed of interconnected machines with varied computational capabilities are well suited to meet the computational demands of large, di...
Tracy D. Braun, Howard Jay Siegel, Anthony A. Maci...
INFOCOM
2009
IEEE
14 years 2 months ago
Downlink MIMO with Frequency-Domain Packet Scheduling for 3GPP LTE
—This paper addresses the problem of frequency domain packet scheduling (FDPS) incorporating spatial division multiplexing (SDM) multiple input multiple output (MIMO) techniques ...
Suk-Bok Lee, Sayantan Choudhury, Ahmad Khoshnevis,...